To achieve a high penetration level of intermittent renewable energy, power system stability and security need to be ensured dynamically as the system operating condition continuously changes. A DSOPF control algorithm using adaptive critic designs (ACDs) is proposed as a solution to control the smart grid in an environment with high short-term uncertainty and variability.

Poorly damped oscillations can constraint the safe operating region of power systems, prevent more economical operation, and increase the probability of wide-spread blackouts. Controllers capable of monitoring and injecting signals at multiple generating stations across the system can help mitigate these oscillations and improve overall performance. Methodologies for designing such controllers using approximate dynamic programming system aggregation techniques are proposed.